Mathematical principle underlying the law of entropy increase is vital for actively stable lowering of biosystem entropy.

One of the key problems in understanding the organization of biological organisms is how they are able to maintain internal order in a stable manner despite the Second Law of thermodynamics. Here one possible solution to this problem is presented. The solution is based on the previously described by the author Kinetic Force Principle (KFP), which posits that, if a certain object is subjected to stochastic modifications, a significant gradient of modification intensity in the state space of that object produces a "kinetic force". This force tends to move the object against the gradient, i.e., in the direction of modification intensity decrease. It is demonstrated that, despite the fact that KFP can be used for deriving the law of entropy increase, it can be leveraged by relatively simple systems for efficient and actively stable decrease of their entropy. This report describes a computational model of such a system and presents the results of three supporting computational experiments. These findings have important implications for understanding life evolution, suggesting an intermediate stage between inanimate physical entities and simple biological systems: systems with active stability based on utilization of KFP for active control. Because such systems can be considerably less complex than the simplest known organisms, their spontaneous emergence is much more probable.